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Wise-SrNet: A Novel Architecture for Enhancing Image Classification by
  Learning Spatial Resolution of Feature Maps
v1v2v3 (latest)

Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps

Pattern Analysis and Applications (PAA), 2021
26 April 2021
Mohammad Rahimzadeh
AmirAli Askari
Soroush Parvin
Elnaz Safi
Mohammad Reza Mohammadi
ArXiv (abs)PDFHTMLGithub (5★)

Papers citing "Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps"

5 / 5 papers shown
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time
Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time
Salvatore Greco
Bartolomeo Vacchetti
D. Apiletti
Tania Cerquitelli
343
23
0
24 Jun 2024
Guiding the retraining of convolutional neural networks against
  adversarial inputs
Guiding the retraining of convolutional neural networks against adversarial inputsPeerJ Computer Science (PeerJ CS), 2022
Francisco Durán
Luís Cruz
Michael Felderer
Xavier Franch
AAML
360
1
0
08 Jul 2022
ROCT-Net: A new ensemble deep convolutional model with improved spatial
  resolution learning for detecting common diseases from retinal OCT images
ROCT-Net: A new ensemble deep convolutional model with improved spatial resolution learning for detecting common diseases from retinal OCT imagesInternational Conference on Computer and Knowledge Engineering (ICCKE), 2021
Mohammad Rahimzadeh
M. Mohammadi
115
12
0
03 Mar 2022
Personalizing Pre-trained Models
Personalizing Pre-trained Models
Mina Khan
P. Srivatsa
Advait Rane
Shriram Chenniappa
A. Hazariwala
Pattie Maes
VLM
256
7
0
02 Jun 2021
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
3.6K
17,346
0
07 Oct 2016
1
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